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DYNAMIXEL SDK is a software development kit that provides DYNAMIXEL control functions using packet communication. The API of DYNAMIXEL SDK is designed for DYNAMIXEL actuators and DYNAMIXEL-based platforms. You need to be familiar with C/C++ programming language for right use of the software. This e-Manual provides comprehensive information on ROBOTIS products and applications.

MatODE is a simple Matlab toolbox for interfacing to the Open Dynamics Engine rigid body physics simulator (ODE, by Russell Smith), created by the Delft Biorobotics Lab (Delft University of Technology, Delft, The Netherlands). The system to be simulated is defined in an XML file, while the joint positions and motor signals can be sensed and actuated from a Matlab script. Examples are provided. Starting at version 0.30, MatODE is only available for Windows and Linux 64-bit. For older 32-bit versions, select "Browse all files".

Scorpius Robocup soccer simulation team. we will release our binaries, base code, trainers and useful documents here.

...The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids. CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS. It has been tested on all Ubuntu version from the last few years and will probably work with most modern linux distributions. Please see the wiki for installation and examples: https://sourceforge.net/p/comps/wiki/Home/

Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.

A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .